Injury crashes and the relationship with disease causing excessive daytime sleepiness
CONCLUSIONS: This study has made first steps toward understanding the relationship between some of the most common diseases that are known to contribute to EDS and crashes. Having Parkinson's/epilepsy, in particular, elevated the probability of a single-vehicle crash compared to a multiple-vehicle crash. A single-vehicle crash was seen as indicative of causing a crash; thus, having Parkinson's/epilepsy could be interpreted as a risk factor for crash involvement. Having Parkinson's/epilepsy, as well as other sleep disorders, was also related to more severe outcomes in multiple-vehicle crashes, given that a crash occurred. T...
Source: Traffic Injury Prevention - March 26, 2021 Category: Accident Prevention Authors: Åsa Forsman Anna Anund Marie Skyving Ashleigh J Filtness Source Type: research

Effectiveness of front crash prevention systems in reducing large truck real-world crash rates
Conclusions: FCW and AEB are effective countermeasures for crashes in which large trucks rear-end other vehicles. Large truck safety is expected to improve as new trucks are increasingly equipped with these systems. FCW has the advantage that some of these systems can be retrofitted to existing trucks, so benefits can be realized sooner and with less investment.PMID:33769151 | DOI:10.1080/15389588.2021.1893700 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 26, 2021 Category: Accident Prevention Authors: Eric R Teoh Source Type: research

Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry
Accid Anal Prev. 2021 Mar 23;154:106096. doi: 10.1016/j.aap.2021.106096. Online ahead of print.ABSTRACTAs a product of the shared economy, online car-hailing platforms can be used effectively to help maximize resources and alleviate traffic congestion. The driver's behavior is characterized by his or her driving style and plays an important role in traffic safety. This paper proposes a novel framework to classify driving styles (defined as aggressive, normal, and cautious) based on online car-hailing data to investigate the distinct characteristics of drivers when performing various driving tasks (defined as cruising, ride...
Source: Accident; Analysis and Prevention. - March 26, 2021 Category: Accident Prevention Authors: Yongfeng Ma Wenlu Li Kun Tang Ziyu Zhang Shuyan Chen Source Type: research

Applications of brain imaging methods in driving behaviour research
Accid Anal Prev. 2021 Mar 23;154:106093. doi: 10.1016/j.aap.2021.106093. Online ahead of print.ABSTRACTApplications of neuroimaging methods have substantially contributed to the scientific understanding of human factors during driving by providing a deeper insight into the neuro-cognitive aspects of driver brain. This has been achieved by conducting simulated (and occasionally, field) driving experiments while collecting driver brain signals of various types. Here, this sector of studies is comprehensively reviewed at both macro and micro scales. At the macro scale, bibliometric aspects of these studies are analysed. At th...
Source: Accident; Analysis and Prevention. - March 26, 2021 Category: Accident Prevention Authors: Milad Haghani Michiel C J Bliemer Bilal Farooq Inhi Kim Zhibin Li Cheol Oh Zahra Shahhoseini Hamish MacDougall Source Type: research

Drivers' visual-distracted take-over performance model and its application on adaptive adjustment of time budget
Accid Anal Prev. 2021 Mar 23;154:106099. doi: 10.1016/j.aap.2021.106099. Online ahead of print.ABSTRACTThere are certain situations that automated driving (AD) systems are still unable to handle, preventing the implementation of Level 5 AD. Thus, a transition of control, colloquially known as take-over of the vehicle, is required when the system sends a take-over request (TOR) upon exiting the operational design domain (ODD). An adaptive TOR along with good take-over performance requires adjusting the time budget (TB) to drivers' visual distraction state, adhering to a reliable visual-distraction-based take-over performanc...
Source: Accident; Analysis and Prevention. - March 26, 2021 Category: Accident Prevention Authors: Qingkun Li Lian Hou Zhenyuan Wang Wenjun Wang Chao Zeng Quan Yuan Bo Cheng Source Type: research

Injury crashes and the relationship with disease causing excessive daytime sleepiness
CONCLUSIONS: This study has made first steps toward understanding the relationship between some of the most common diseases that are known to contribute to EDS and crashes. Having Parkinson's/epilepsy, in particular, elevated the probability of a single-vehicle crash compared to a multiple-vehicle crash. A single-vehicle crash was seen as indicative of causing a crash; thus, having Parkinson's/epilepsy could be interpreted as a risk factor for crash involvement. Having Parkinson's/epilepsy, as well as other sleep disorders, was also related to more severe outcomes in multiple-vehicle crashes, given that a crash occurred. T...
Source: Traffic Injury Prevention - March 26, 2021 Category: Accident Prevention Authors: Åsa Forsman Anna Anund Marie Skyving Ashleigh J Filtness Source Type: research

Effectiveness of front crash prevention systems in reducing large truck real-world crash rates
Conclusions: FCW and AEB are effective countermeasures for crashes in which large trucks rear-end other vehicles. Large truck safety is expected to improve as new trucks are increasingly equipped with these systems. FCW has the advantage that some of these systems can be retrofitted to existing trucks, so benefits can be realized sooner and with less investment.PMID:33769151 | DOI:10.1080/15389588.2021.1893700 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 26, 2021 Category: Accident Prevention Authors: Eric R Teoh Source Type: research

Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry
Accid Anal Prev. 2021 Mar 23;154:106096. doi: 10.1016/j.aap.2021.106096. Online ahead of print.ABSTRACTAs a product of the shared economy, online car-hailing platforms can be used effectively to help maximize resources and alleviate traffic congestion. The driver's behavior is characterized by his or her driving style and plays an important role in traffic safety. This paper proposes a novel framework to classify driving styles (defined as aggressive, normal, and cautious) based on online car-hailing data to investigate the distinct characteristics of drivers when performing various driving tasks (defined as cruising, ride...
Source: Accident; Analysis and Prevention. - March 26, 2021 Category: Accident Prevention Authors: Yongfeng Ma Wenlu Li Kun Tang Ziyu Zhang Shuyan Chen Source Type: research

Applications of brain imaging methods in driving behaviour research
Accid Anal Prev. 2021 Mar 23;154:106093. doi: 10.1016/j.aap.2021.106093. Online ahead of print.ABSTRACTApplications of neuroimaging methods have substantially contributed to the scientific understanding of human factors during driving by providing a deeper insight into the neuro-cognitive aspects of driver brain. This has been achieved by conducting simulated (and occasionally, field) driving experiments while collecting driver brain signals of various types. Here, this sector of studies is comprehensively reviewed at both macro and micro scales. At the macro scale, bibliometric aspects of these studies are analysed. At th...
Source: Accident; Analysis and Prevention. - March 26, 2021 Category: Accident Prevention Authors: Milad Haghani Michiel C J Bliemer Bilal Farooq Inhi Kim Zhibin Li Cheol Oh Zahra Shahhoseini Hamish MacDougall Source Type: research

Drivers' visual-distracted take-over performance model and its application on adaptive adjustment of time budget
Accid Anal Prev. 2021 Mar 23;154:106099. doi: 10.1016/j.aap.2021.106099. Online ahead of print.ABSTRACTThere are certain situations that automated driving (AD) systems are still unable to handle, preventing the implementation of Level 5 AD. Thus, a transition of control, colloquially known as take-over of the vehicle, is required when the system sends a take-over request (TOR) upon exiting the operational design domain (ODD). An adaptive TOR along with good take-over performance requires adjusting the time budget (TB) to drivers' visual distraction state, adhering to a reliable visual-distraction-based take-over performanc...
Source: Accident; Analysis and Prevention. - March 26, 2021 Category: Accident Prevention Authors: Qingkun Li Lian Hou Zhenyuan Wang Wenjun Wang Chao Zeng Quan Yuan Bo Cheng Source Type: research

Effectiveness of front crash prevention systems in reducing large truck real-world crash rates
Conclusions: FCW and AEB are effective countermeasures for crashes in which large trucks rear-end other vehicles. Large truck safety is expected to improve as new trucks are increasingly equipped with these systems. FCW has the advantage that some of these systems can be retrofitted to existing trucks, so benefits can be realized sooner and with less investment.PMID:33769151 | DOI:10.1080/15389588.2021.1893700 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 26, 2021 Category: Accident Prevention Authors: Eric R Teoh Source Type: research

Injury crashes and the relationship with disease causing excessive daytime sleepiness
CONCLUSIONS: This study has made first steps toward understanding the relationship between some of the most common diseases that are known to contribute to EDS and crashes. Having Parkinson's/epilepsy, in particular, elevated the probability of a single-vehicle crash compared to a multiple-vehicle crash. A single-vehicle crash was seen as indicative of causing a crash; thus, having Parkinson's/epilepsy could be interpreted as a risk factor for crash involvement. Having Parkinson's/epilepsy, as well as other sleep disorders, was also related to more severe outcomes in multiple-vehicle crashes, given that a crash occurred. T...
Source: Traffic Injury Prevention - March 26, 2021 Category: Accident Prevention Authors: Åsa Forsman Anna Anund Marie Skyving Ashleigh J Filtness Source Type: research

Injury crashes and the relationship with disease causing excessive daytime sleepiness
CONCLUSIONS: This study has made first steps toward understanding the relationship between some of the most common diseases that are known to contribute to EDS and crashes. Having Parkinson's/epilepsy, in particular, elevated the probability of a single-vehicle crash compared to a multiple-vehicle crash. A single-vehicle crash was seen as indicative of causing a crash; thus, having Parkinson's/epilepsy could be interpreted as a risk factor for crash involvement. Having Parkinson's/epilepsy, as well as other sleep disorders, was also related to more severe outcomes in multiple-vehicle crashes, given that a crash occurred. T...
Source: Traffic Injury Prevention - March 26, 2021 Category: Accident Prevention Authors: Åsa Forsman Anna Anund Marie Skyving Ashleigh J Filtness Source Type: research

Effectiveness of front crash prevention systems in reducing large truck real-world crash rates
Conclusions: FCW and AEB are effective countermeasures for crashes in which large trucks rear-end other vehicles. Large truck safety is expected to improve as new trucks are increasingly equipped with these systems. FCW has the advantage that some of these systems can be retrofitted to existing trucks, so benefits can be realized sooner and with less investment.PMID:33769151 | DOI:10.1080/15389588.2021.1893700 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 26, 2021 Category: Accident Prevention Authors: Eric R Teoh Source Type: research

Trajectory data based freeway high-risk events prediction and its influencing factors analyses
Publication date: May 2021Source: Accident Analysis & Prevention, Volume 154Author(s): Rongjie Yu, Lei Han, Hui Zhang (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - March 26, 2021 Category: Accident Prevention Source Type: research

Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model
Publication date: May 2021Source: Accident Analysis & Prevention, Volume 154Author(s): Tiantian Chen, N.N. Sze, Sikai Chen, Samuel Labi, Qiang Zeng (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - March 26, 2021 Category: Accident Prevention Source Type: research

The development and validation of the perceived safety of intelligent connected vehicles scale
Accid Anal Prev. 2021 Mar 22;154:106092. doi: 10.1016/j.aap.2021.106092. Online ahead of print.ABSTRACTWhether the public feels psychologically safe about intelligent connected vehicles (ICVs) is crucial for this new technology to prevail. While researchers have realized the importance of perceived safety, a direct and psychometrically sound measure is still needed. This paper aimed to develop and validate a scale to measure the perceived safety of ICVs. In Study 1, an 8-item scale of the perceived safety was developed based on a literature review and used with a sample from Beijing (n = 373), among the people who are very...
Source: Accident; Analysis and Prevention. - March 25, 2021 Category: Accident Prevention Authors: Jianqin Cao Li Lin Jingyu Zhang Liang Zhang Ya Wang Jifang Wang Source Type: research

The development and validation of the perceived safety of intelligent connected vehicles scale
Accid Anal Prev. 2021 Mar 23;154:106092. doi: 10.1016/j.aap.2021.106092. Online ahead of print.ABSTRACTWhether the public feels psychologically safe about intelligent connected vehicles (ICVs) is crucial for this new technology to prevail. While researchers have realized the importance of perceived safety, a direct and psychometrically sound measure is still needed. This paper aimed to develop and validate a scale to measure the perceived safety of ICVs. In Study 1, an 8-item scale of the perceived safety was developed based on a literature review and used with a sample from Beijing (n = 373), among the people who are very...
Source: Accident; Analysis and Prevention. - March 25, 2021 Category: Accident Prevention Authors: Jianqin Cao Li Lin Jingyu Zhang Liang Zhang Ya Wang Jifang Wang Source Type: research

Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry
Publication date: May 2021Source: Accident Analysis & Prevention, Volume 154Author(s): Yongfeng Ma, Wenlu Li, Kun Tang, Ziyu Zhang, Shuyan Chen (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - March 25, 2021 Category: Accident Prevention Source Type: research

Applications of brain imaging methods in driving behaviour research
Publication date: May 2021Source: Accident Analysis & Prevention, Volume 154Author(s): Milad Haghani, Michiel C.J. Bliemer, Bilal Farooq, Inhi Kim, Zhibin Li, Cheol Oh, Zahra Shahhoseini, Hamish MacDougall (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - March 25, 2021 Category: Accident Prevention Source Type: research

Drivers’ visual-distracted take-over performance model and its application on adaptive adjustment of time budget
Publication date: May 2021Source: Accident Analysis & Prevention, Volume 154Author(s): Qingkun Li, Lian Hou, Zhenyuan Wang, Wenjun Wang, Chao Zeng, Quan Yuan, Bo Cheng (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - March 25, 2021 Category: Accident Prevention Source Type: research

Temporal analysis of crash severities involving male and female drivers: A random parameters approach with heterogeneity in means and variances
Publication date: June 2021Source: Analytic Methods in Accident Research, Volume 30Author(s): Xintong Yan, Jie He, Changjian Zhang, Ziyang Liu, Chenwei Wang, Boshuai Qiao (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - March 24, 2021 Category: Accident Prevention Source Type: research

The development and validation of the perceived safety of intelligent connected vehicles scale
Publication date: May 2021Source: Accident Analysis & Prevention, Volume 154Author(s): Jianqin Cao, Li Lin, Jingyu Zhang, Liang Zhang, Ya Wang, Jifang Wang (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - March 23, 2021 Category: Accident Prevention Source Type: research

A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw
Accid Anal Prev. 2021 Mar 20;154:106094. doi: 10.1016/j.aap.2021.106094. Online ahead of print.ABSTRACTMotorcycles and motorcyclists have a variety of attributes that have been found to be a potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road Users (VRUs) that include pedestrians, bicyclists, cycle-rickshaw occupants, and motorcyclists constitute by far the highest share of road traffic accidents in developing countries. Motorized three-wheeled Rickshaws (3W-MR) is a popular public transport mode in almost all Pakistani cities and is used primarily for short trips to carry passenger...
Source: Accident; Analysis and Prevention. - March 23, 2021 Category: Accident Prevention Authors: Muhammad Ijaz Liu Lan Muhammad Zahid Arshad Jamal Source Type: research

Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data
In this study, automated vehicles in autonomous mode were found to be struck from behind at 4.8 times the rate of human-driven vehicles in a naturalistic driving study. When controlling for driving environment, the rates for AVs were 5.0 times higher for urban driving and not significant for business/industrial driving, although these results are for different manufacturers, complicating the results. Automated vehicles were more likely to be struck when stopped than when moving compared to human-driven vehicles, suggesting that automated vehicles' decisions about where and when to stop or remain stopped at intersections ar...
Source: Accident; Analysis and Prevention. - March 23, 2021 Category: Accident Prevention Authors: Noah J Goodall Source Type: research

A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw
Accid Anal Prev. 2021 Mar 21;154:106094. doi: 10.1016/j.aap.2021.106094. Online ahead of print.ABSTRACTMotorcycles and motorcyclists have a variety of attributes that have been found to be a potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road Users (VRUs) that include pedestrians, bicyclists, cycle-rickshaw occupants, and motorcyclists constitute by far the highest share of road traffic accidents in developing countries. Motorized three-wheeled Rickshaws (3W-MR) is a popular public transport mode in almost all Pakistani cities and is used primarily for short trips to carry passenger...
Source: Accident; Analysis and Prevention. - March 23, 2021 Category: Accident Prevention Authors: Muhammad Ijaz Liu Lan Muhammad Zahid Arshad Jamal Source Type: research

Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data
In this study, automated vehicles in autonomous mode were found to be struck from behind at 4.8 times the rate of human-driven vehicles in a naturalistic driving study. When controlling for driving environment, the rates for AVs were 5.0 times higher for urban driving and not significant for business/industrial driving, although these results are for different manufacturers, complicating the results. Automated vehicles were more likely to be struck when stopped than when moving compared to human-driven vehicles, suggesting that automated vehicles' decisions about where and when to stop or remain stopped at intersections ar...
Source: Accident; Analysis and Prevention. - March 23, 2021 Category: Accident Prevention Authors: Noah J Goodall Source Type: research

A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw
Publication date: May 2021Source: Accident Analysis & Prevention, Volume 154Author(s): Muhammad Ijaz, Liu lan, Muhammad Zahid, Arshad Jamal (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - March 22, 2021 Category: Accident Prevention Source Type: research

Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data
Publication date: May 2021Source: Accident Analysis & Prevention, Volume 154Author(s): Noah J. Goodall (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - March 22, 2021 Category: Accident Prevention Source Type: research

Copula-based Joint Modeling of Crash Count and Conflict Risk Measures with Accommodation of Mixed Count-Continuous Margins
Publication date: Available online 18 March 2021Source: Analytic Methods in Accident ResearchAuthor(s): Di Yang, Kun Xie, Kaan Ozbay, Zifeng Zhao, Hong Yang (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - March 20, 2021 Category: Accident Prevention Source Type: research

Driver posture monitoring in highly automated vehicles using pressure measurement
CONCLUSIONS: Pressure measurement could be a good alternative or complementary to camera based driver postural monitoring system. Results show that all classifiers proposed in the work could predict the trunk position for standard driving. With help of an initial posture, Random Forest classifier with relative pressure features could classify trunk positions with high accuracy. However, further effort is needed to improve the accuracy of feet position prediction especially by adding more foot related task data.PMID:33739223 | DOI:10.1080/15389588.2021.1892087 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 19, 2021 Category: Accident Prevention Authors: Mingming Zhao Georges Beurier Hongyan Wang Xuguang Wang Source Type: research

Determinant contributing variables to severity levels of pedestrian crossed the road crashes in three cities in Indonesia
CONCLUSIONS: Each city has unique variables to determine the severity level. Therefore, treatments and countermeasures must be specific to each city based on study findings.PMID:33739216 | DOI:10.1080/15389588.2021.1872065 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 19, 2021 Category: Accident Prevention Authors: Tri Tjahjono Bhidara Swantika Andyka Kusuma Robby Purnomo Grace Helen Tambun Source Type: research

A deep learning based traffic crash severity prediction framework
Accid Anal Prev. 2021 Mar 16;154:106090. doi: 10.1016/j.aap.2021.106090. Online ahead of print.ABSTRACTHighway work zones are most vulnerable roadway segments for congestion and traffic collisions. Hence, providing accurate and timely prediction of the severity of traffic collisions at work zones is vital to reduce the response time for emergency units (e.g., medical aid), accordingly improve traffic safety and reduce congestion. In predicting the severity of traffic collisions, previous studies used different statistical and machine learning models with accuracy as the main evaluating factor. However, the performance of t...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Md Adilur Rahim Hany M Hassan Source Type: research

Cycling injury risk in Britain: A case-crossover study of infrastructural and route environment correlates
Accid Anal Prev. 2021 Mar 16;154:106063. doi: 10.1016/j.aap.2021.106063. Online ahead of print.ABSTRACTThis paper examines infrastructural and route environment correlates of cycling injury risk in Britain. We used a case-crossover design, randomly selecting control sites from modelled cyclist routes, comparing these with sites where cyclists were injured. We then used conditional logistic regression for matched case-control groups modelling to compare characteristics of control and injury sites. Intersections were strongly associated with injury risk. High streets were associated with an elevated injury risk in final adju...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Georgios Kapousizis Anna Goodman Rachel Aldred Source Type: research

Effect of speed/red-light cameras and traffic signal countdown timers on dilemma zone determination at pre-timed signalized intersections
In this study, the dilemma zone types and lengths were studied according to their definitions based on Gazis, Herman, and Maradudin (GMH) and the probability-of-stopping models, and the link of the two models to each other was explored. Moreover, the effects of the joint and separate use of the speed/red-light camera (SRLC) and the traffic signal countdown timer (TSCT) on dilemma zone determination and safety were investigated. Multiple linear regression was conducted to define the minimum stopping and maximum passing distance boundaries, and binary logistic regression was conducted to define the boundary of dilemma zone t...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Omar Almutairi Heng Wei Source Type: research

Optimized design to adverse transportation conditions for railway freight system
This study proposed a method for transportation agencies to efficiently and accurately formulate or revise rules for the movement of railway transport while ensuring safety under adverse conditions. Determining such a method in general requires trial-and-error experimentation, which consumes large amounts of time and money. We used the uniform experiment (UE) and generalized linear autoregression (GLAR) to establish our method. Based on it, a series of numerical models were proposed to examine the association between the operational indices of safety (derailment coefficient and rate of wheel unloading) and such factors as ...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Neng-Pu Yang Fenling Feng Quan Huang Xiao-Hua Liu Source Type: research

Cycling injury risk in Britain: A case-crossover study of infrastructural and route environment correlates
Accid Anal Prev. 2021 Mar 16;154:106063. doi: 10.1016/j.aap.2021.106063. Online ahead of print.ABSTRACTThis paper examines infrastructural and route environment correlates of cycling injury risk in Britain. We used a case-crossover design, randomly selecting control sites from modelled cyclist routes, comparing these with sites where cyclists were injured. We then used conditional logistic regression for matched case-control groups modelling to compare characteristics of control and injury sites. Intersections were strongly associated with injury risk. High streets were associated with an elevated injury risk in final adju...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Georgios Kapousizis Anna Goodman Rachel Aldred Source Type: research

Effect of speed/red-light cameras and traffic signal countdown timers on dilemma zone determination at pre-timed signalized intersections
In this study, the dilemma zone types and lengths were studied according to their definitions based on Gazis, Herman, and Maradudin (GMH) and the probability-of-stopping models, and the link of the two models to each other was explored. Moreover, the effects of the joint and separate use of the speed/red-light camera (SRLC) and the traffic signal countdown timer (TSCT) on dilemma zone determination and safety were investigated. Multiple linear regression was conducted to define the minimum stopping and maximum passing distance boundaries, and binary logistic regression was conducted to define the boundary of dilemma zone t...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Omar Almutairi Heng Wei Source Type: research

Optimized design to adverse transportation conditions for railway freight system
This study proposed a method for transportation agencies to efficiently and accurately formulate or revise rules for the movement of railway transport while ensuring safety under adverse conditions. Determining such a method in general requires trial-and-error experimentation, which consumes large amounts of time and money. We used the uniform experiment (UE) and generalized linear autoregression (GLAR) to establish our method. Based on it, a series of numerical models were proposed to examine the association between the operational indices of safety (derailment coefficient and rate of wheel unloading) and such factors as ...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Neng-Pu Yang Fenling Feng Quan Huang Xiao-Hua Liu Source Type: research

A deep learning based traffic crash severity prediction framework
Accid Anal Prev. 2021 Mar 16;154:106090. doi: 10.1016/j.aap.2021.106090. Online ahead of print.ABSTRACTHighway work zones are most vulnerable roadway segments for congestion and traffic collisions. Hence, providing accurate and timely prediction of the severity of traffic collisions at work zones is vital to reduce the response time for emergency units (e.g., medical aid), accordingly improve traffic safety and reduce congestion. In predicting the severity of traffic collisions, previous studies used different statistical and machine learning models with accuracy as the main evaluating factor. However, the performance of t...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Md Adilur Rahim Hany M Hassan Source Type: research

Determinant contributing variables to severity levels of pedestrian crossed the road crashes in three cities in Indonesia
CONCLUSIONS: Each city has unique variables to determine the severity level. Therefore, treatments and countermeasures must be specific to each city based on study findings.PMID:33739216 | DOI:10.1080/15389588.2021.1872065 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 19, 2021 Category: Accident Prevention Authors: Tri Tjahjono Bhidara Swantika Andyka Kusuma Robby Purnomo Grace Helen Tambun Source Type: research

Driver posture monitoring in highly automated vehicles using pressure measurement
CONCLUSIONS: Pressure measurement could be a good alternative or complementary to camera based driver postural monitoring system. Results show that all classifiers proposed in the work could predict the trunk position for standard driving. With help of an initial posture, Random Forest classifier with relative pressure features could classify trunk positions with high accuracy. However, further effort is needed to improve the accuracy of feet position prediction especially by adding more foot related task data.PMID:33739223 | DOI:10.1080/15389588.2021.1892087 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 19, 2021 Category: Accident Prevention Authors: Mingming Zhao Georges Beurier Hongyan Wang Xuguang Wang Source Type: research

A deep learning based traffic crash severity prediction framework
Accid Anal Prev. 2021 Mar 16;154:106090. doi: 10.1016/j.aap.2021.106090. Online ahead of print.ABSTRACTHighway work zones are most vulnerable roadway segments for congestion and traffic collisions. Hence, providing accurate and timely prediction of the severity of traffic collisions at work zones is vital to reduce the response time for emergency units (e.g., medical aid), accordingly improve traffic safety and reduce congestion. In predicting the severity of traffic collisions, previous studies used different statistical and machine learning models with accuracy as the main evaluating factor. However, the performance of t...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Md Adilur Rahim Hany M Hassan Source Type: research

Cycling injury risk in Britain: A case-crossover study of infrastructural and route environment correlates
Accid Anal Prev. 2021 Mar 16;154:106063. doi: 10.1016/j.aap.2021.106063. Online ahead of print.ABSTRACTThis paper examines infrastructural and route environment correlates of cycling injury risk in Britain. We used a case-crossover design, randomly selecting control sites from modelled cyclist routes, comparing these with sites where cyclists were injured. We then used conditional logistic regression for matched case-control groups modelling to compare characteristics of control and injury sites. Intersections were strongly associated with injury risk. High streets were associated with an elevated injury risk in final adju...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Georgios Kapousizis Anna Goodman Rachel Aldred Source Type: research

Optimized design to adverse transportation conditions for railway freight system
This study proposed a method for transportation agencies to efficiently and accurately formulate or revise rules for the movement of railway transport while ensuring safety under adverse conditions. Determining such a method in general requires trial-and-error experimentation, which consumes large amounts of time and money. We used the uniform experiment (UE) and generalized linear autoregression (GLAR) to establish our method. Based on it, a series of numerical models were proposed to examine the association between the operational indices of safety (derailment coefficient and rate of wheel unloading) and such factors as ...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Neng-Pu Yang Fenling Feng Quan Huang Xiao-Hua Liu Source Type: research

Effect of speed/red-light cameras and traffic signal countdown timers on dilemma zone determination at pre-timed signalized intersections
In this study, the dilemma zone types and lengths were studied according to their definitions based on Gazis, Herman, and Maradudin (GMH) and the probability-of-stopping models, and the link of the two models to each other was explored. Moreover, the effects of the joint and separate use of the speed/red-light camera (SRLC) and the traffic signal countdown timer (TSCT) on dilemma zone determination and safety were investigated. Multiple linear regression was conducted to define the minimum stopping and maximum passing distance boundaries, and binary logistic regression was conducted to define the boundary of dilemma zone t...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Omar Almutairi Heng Wei Source Type: research

Driver posture monitoring in highly automated vehicles using pressure measurement
CONCLUSIONS: Pressure measurement could be a good alternative or complementary to camera based driver postural monitoring system. Results show that all classifiers proposed in the work could predict the trunk position for standard driving. With help of an initial posture, Random Forest classifier with relative pressure features could classify trunk positions with high accuracy. However, further effort is needed to improve the accuracy of feet position prediction especially by adding more foot related task data.PMID:33739223 | DOI:10.1080/15389588.2021.1892087 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 19, 2021 Category: Accident Prevention Authors: Mingming Zhao Georges Beurier Hongyan Wang Xuguang Wang Source Type: research

Determinant contributing variables to severity levels of pedestrian crossed the road crashes in three cities in Indonesia
CONCLUSIONS: Each city has unique variables to determine the severity level. Therefore, treatments and countermeasures must be specific to each city based on study findings.PMID:33739216 | DOI:10.1080/15389588.2021.1872065 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 19, 2021 Category: Accident Prevention Authors: Tri Tjahjono Bhidara Swantika Andyka Kusuma Robby Purnomo Grace Helen Tambun Source Type: research

Cycling injury risk in Britain: A case-crossover study of infrastructural and route environment correlates
Accid Anal Prev. 2021 Mar 16;154:106063. doi: 10.1016/j.aap.2021.106063. Online ahead of print.ABSTRACTThis paper examines infrastructural and route environment correlates of cycling injury risk in Britain. We used a case-crossover design, randomly selecting control sites from modelled cyclist routes, comparing these with sites where cyclists were injured. We then used conditional logistic regression for matched case-control groups modelling to compare characteristics of control and injury sites. Intersections were strongly associated with injury risk. High streets were associated with an elevated injury risk in final adju...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Georgios Kapousizis Anna Goodman Rachel Aldred Source Type: research

Effect of speed/red-light cameras and traffic signal countdown timers on dilemma zone determination at pre-timed signalized intersections
In this study, the dilemma zone types and lengths were studied according to their definitions based on Gazis, Herman, and Maradudin (GMH) and the probability-of-stopping models, and the link of the two models to each other was explored. Moreover, the effects of the joint and separate use of the speed/red-light camera (SRLC) and the traffic signal countdown timer (TSCT) on dilemma zone determination and safety were investigated. Multiple linear regression was conducted to define the minimum stopping and maximum passing distance boundaries, and binary logistic regression was conducted to define the boundary of dilemma zone t...
Source: Accident; Analysis and Prevention. - March 19, 2021 Category: Accident Prevention Authors: Omar Almutairi Heng Wei Source Type: research